Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials.
Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
The Opportunity
As Multiverse Computing accelerates its expansion across EMEA, we are hiring a Sales Director for Italy — a strategic, high-impact role at the heart of the company's commercial growth. You will own the Italian market, leading a team of Account Executives across key industry verticals and driving large, complex AI solution deals with blue-chip enterprises.
This is a senior leadership position combining hands-on sales execution with team management: you will both close your own strategic accounts and build, coach, and scale a high-performing AE team covering Aerospace & Defence, Automotive, Finance, Energy, and beyond. The role offers direct exposure to C-level clients, a genuinely differentiated technology, and a fast-growing organisation at the frontier of AI and quantum computing.
Key responsibilities
Sales leadership & team management
- Build, lead, and mentor a team of Account Executives across multiple industry verticals in Italy.
- Set individual and team revenue targets; drive consistent quota attainment and pipeline health.
- Define scalable sales processes, coaching frameworks, and a performance culture grounded in data.
- Lead by example — remain personally involved in strategic deals and key client relationships.
Revenue generation & enterprise sales
- Own the Italy P&L and deliver against annual revenue targets ($20M+ equivalent contribution expected).
- Drive enterprise consultative sales of CompactifAI to large corporates and Fortune 500 companies.
- Manage the full sales cycle: prospecting, discovery, value engineering, proposal, negotiation, closure, and expansion.
- Build and maintain a qualified pipeline of complex, long-cycle deals (€300K to multi-million euro range).
Client engagement & C-level relationships
- Engage C-level and senior decision-makers (CEO, CTO, CIO, CDO, Head of Innovation) as a trusted advisor.
- Translate complex AI and quantum technology into clear business value propositions tailored to each client's strategic priorities.
- Position Multiverse as a long-term strategic partner, not a software vendor.
- Represent Multiverse at key industry events in Italy (Aerospace, Defence, Automotive, AI).
Go-to-market & cross-functional collaboration
- Define and execute the Italy GTM strategy across target verticals, in alignment with EMEA commercial direction.
- Collaborate closely with Solutions Engineering, Product, R&D, and Marketing to shape POCs, proposals, and competitive positioning.
- Feed customer insights back into the product roadmap and EMEA strategy.
- Maintain rigorous CRM discipline, accurate forecasting, and data-driven pipeline management
Required Qualifications
- Bachelor's degree in Business Administration, Marketing, Engineering, or a related field.
- 15+ years of B2B sales experience, including at least 7 years in a senior sales leadership role (Director, VP, or equivalent).
- Minimum 5 years of experience selling AI, SaaS, data, or cloud solutions — direct AI selling experience is mandatory.
- Proven track record of building, scaling, and leading high-performing sales teams.
- Demonstrated success closing large enterprise deals (€300K–multi-million), with experience managing long, multi-stakeholder sales cycles.
- Strong consultative selling skills; ability to prospect, qualify, and manage C-level relationships in regulated and complex enterprise environments.
- Analytical and data-driven; comfortable with CRM tools, pipeline forecasting, and performance metrics.
- Entrepreneurial mindset — hands-on, adaptable, and able to thrive in a fast-paced scale-up environment.
- Excellent communication, presentation, and negotiation skills with senior executives.
- Fluent Italian (essential) and professional English (essential).
Preferred Qualifications
- MBA combined with a technical degree in Science or Engineering.
- Understanding of advanced AI technologies (LLMs, model compression, inference optimisation) or quantum computing, ability to grasp and communicate technical concepts effectively.
- Established network and experience in one or more target verticals: Aerospace & Defence, Automotive, Finance, Energy & Manufacturing.
- Experience launching new products or expanding into new markets in a startup or scale-up context.
Perks & Benefits
- Work at the forefront of AI, quantum computing, and deep-tech innovation.
- Signing Bonus and competitive Commission structure
- Shape transformative enterprise AI initiatives with global impact.
- Join a highly international, collaborative, and fast-growing team.
- Contribute directly to cutting-edge technology with real-world business impact.
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of high-level commercial leadership within the deep-tech sector represents a structural response to the widening gap between quantum software maturity and enterprise-scale adoption. As European organizations navigate the transition from exploratory proof-of-concepts to production-grade integration, the role of a regional sales director serves as a vital conduit for translating complex algorithmic performance into measurable industrial utility. This function is essential for overcoming significant adoption barriers, such as the high capital intensity of deep-tech investments and the technical abstraction of quantum-enhanced solutions. By orchestrating strategic entry into regulated markets, this role type facilitates the alignment of emerging technology roadmaps with national sovereign interests and cross-sector digital transformation goals. Market indicators suggest that the capacity to manage long-cycle, high-value engagements is currently a primary bottleneck in the commercialization phase of the global quantum value chain.
The quantum computing ecosystem is currently shifting from a supply-side, research-dominated landscape to a demand-driven industrial sector. Within the application enablement layer, there is a persistent requirement for expertise that can bridge the technical capabilities of hybrid classical-quantum stacks with the operational demands of blue-chip enterprises. This transition is particularly acute in regions like Italy, where concentrated industrial clusters in aerospace, automotive, and finance require highly specialized go-to-market strategies to integrate emerging AI and quantum tools into existing legacy infrastructures.
Macro-level constraints, including a scarcity of personnel who possess both deep-tech literacy and senior executive influence, continue to impede the scaling of quantum software solutions. The fragmentation of the vendor landscape further complicates the procurement process for large-scale organizations, necessitating a consultative approach that positions technology as a long-term strategic partnership rather than a transactional software acquisition. Furthermore, as national quantum strategies increasingly prioritize economic security and technological sovereignty, the ability to navigate complex regulatory environments becomes a prerequisite for successful industrial deployment.
Current industry focus lies on bridging classical and quantum capabilities at scale, especially as organizations seek to optimize large language model (LLM) performance and reduce the energy footprint of artificial intelligence. The maturation of model compression and inference optimization technologies represents a critical near-term value proposition that accelerates the return on investment for deep-tech adoption. Consequently, the commercial layer of the value chain must effectively communicate these efficiency gains to C-suite stakeholders to secure the capital required for continued hardware and software development.
The capability architecture for this role type centers on the intersection of strategic market orchestration and the translation of complex computational metrics into business-level performance indicators. Proficiency in managing high-fidelity enterprise software lifecycles is mandatory for ensuring that quantum-enhanced solutions remain interoperable with standard high-performance computing (HPC) and cloud environments. This requires a deep understanding of hybrid workflow integration, where specific optimization or machine learning kernels are accelerated by emerging technologies without disrupting the stability of the broader corporate technology stack.
Beyond the technical interface, the role demands mastery of value engineering for long-cycle, multi-stakeholder engagements in regulated sectors such as defense and finance. These capabilities are critical for reducing the friction associated with the technology readiness level (TRL) mismatch often found in early-stage deep-tech. By standardizing the commercial delivery of performance benchmarks and cost-reduction proof-points, these leaders ensure the structural integrity of the sales pipeline. This function ultimately supports the stability of the ecosystem by securing the large-scale enterprise commitments necessary to validate the commercial viability of the quantum software market.
Accelerates the industrial adoption of quantum-enhanced optimization and machine learning solutions within the European digital value chain
Mitigates the financial risk of deep-tech investment through the establishment of rigorous, performance-based value propositions for C-level stakeholders
Facilitates the transition of quantum software from experimental research to standardized, enterprise-grade production environments
Reduces iteration friction between R\&D output and industrial application requirements through continuous market-to-product feedback loops
Strengthens national technological sovereignty by securing high-value commitments for sovereign-backed deep-tech architectures
Harmonizes the deployment of advanced AI model compression with the operational sustainability goals of global energy and manufacturing firms
Optimizes the commercial lifecycle of hybrid classical-quantum systems through the development of sector-specific go-to-market frameworks
Supports the scaling of the quantum workforce by identifying and securing the rare talent necessary for regional commercial expansion
Shortens the time-to-value for enterprise digital transformation by aligning emerging technology trajectories with industrial strategic priorities
Improves the transparency of the deep-tech procurement process through standardized benchmarking and architectural best practices
Protects long-term capital investments in quantum software by building sustainable, multi-million euro strategic partnerships with blue-chip enterprises
Enables the strategic coordination of regional commercial efforts across fragmented international hardware and software ecosystems
Industry Tags: Quantum Software Commercialization, Deep-Tech Go-To-Market, Enterprise AI Integration, Hybrid Quantum-Classical Systems, Technology Adoption Lifecycle, Model Compression Strategy, Industrial Optimization, Sovereign Technology Strategy
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